Enterprise Data Architect

Koantek•Milwaukee, WI

19h

About The Position

Enterprise Data Architect Primary Purpose Responsible for designing and architecting data/MDM solutions, analyzing, implementing, and deploying these solutions both on -premises and in the cloud. By collaborating with diverse business teams and utilizing extensive knowledge of big data tools and products, creates scalable, flexible, and comprehensive data solutions that tackle complex business challenges.

Responsibilities

Manage the technical delivery of medium to large, moderately complex projects on -time with targeted zero defects.
Provide planning, estimation, scheduling, prioritization and coordination of technical activities related to Enterprise -wide data solutions on both cloud and on premises.
Ensure solutions alignment to Enterprise Architecture policies and best practices; ensure that process methodologies are followed in development.
Accountable to business and technology management for end -to -end application scoping, planning, development and delivery that meets and exceeds quality standards.
Identify and manage dependencies and downstream impacts of the project to minimize adverse effects on other projects and / or programs.
Assist Project manager with the estimation of technical timelines and allocation of the technical resources to specific task.
Communicate Expectations, Roles and Responsibilities to team members and hold them accountable to meet the expectations.
Collaborate with IT partners to devise capacity plan and ensure appropriate infrastructure for the end -to -end system delivery.
Supervise contingent workers and their daily tasks including onshore and offshore staff.
Identify valuable data sources and automate collection processes.
Maintain data accuracy and timeliness, a critical highly visible aspect of the position as it impacts supply chain and sales effectiveness, financial performance of the business, and customer perception through on -time delivery, working capital, financial reporting accuracy and product quality.
Architect and design master data to drive towards “Single source of the truth”.
Regularly monitor and measure performance of MDM standards.
Performs problem and trend analyses to identify and correct problems and increase data quality.
Review / Approve execution of data changes.
Track and report through the CAB review board.
Develop SLA’s and ensure they are met.
Drive data mapping workshops for migrations.
Coordinate and participate in the ETL (extract, transform, load) process for any migrations.
Plan and architect M&A initiatives and integrations